A fuzzy evaluation matrix method in early warning and classification of cardiovascular diseases

Cardiovascular disease is one of the important diseases affecting human life and health, and the effective prediction and classification of cardiovascular diseases through the development of medical informatization can reduce the diagnosis and treatment time and misdiagnosis rate of doctors, better serve patients with cardiovascular diseases, and help reduce patients' expenses and improve patients'medical efficiency. Our comprehensive diagnosis and treatment system has made breakthroughs in the prediction of cardiovascular diseases, the noise reduction of ECG signal, and the classification of arrhythmias, which can better serve the cardiovascular diseases and provide help for patients with cardiovascular diseases.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2026-02-16
DOI
https://doi.org/10.1080/10255842.2026.2630059
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A fuzzy evaluation matrix method in early warning and classification of cardiovascular diseases

Shuwei Yang, Miao Yu, Chenxuan Han, Runxin Zeng et al.
Computer Methods in Biomechanics & Biomedical Engineering
ECG Monitoring and Analysis
article

A fuzzy evaluation matrix method in early warning and classification of cardiovascular diseases

Shuwei Yang, Miao Yu, Chenxuan Han, Runxin Zeng, Yi Lu
article en

Abstract

Cardiovascular disease is one of the important diseases affecting human life and health, and the effective prediction and classification of cardiovascular diseases through the development of medical informatization can reduce the diagnosis and treatment time and misdiagnosis rate of doctors, better serve patients with cardiovascular diseases, and help reduce patients' expenses and improve patients'medical efficiency. Our comprehensive diagnosis and treatment system has made breakthroughs in the prediction of cardiovascular diseases, the noise reduction of ECG signal, and the classification of arrhythmias, which can better serve the cardiovascular diseases and provide help for patients with cardiovascular diseases.

Computer Methods in Biomechanics & Biomedical Engineering
Food Safety and Inspection Service (US), China Special Equipment Inspection and Research Institute (CN), Beijing University of Civil Engineering and Architecture (CN)
Openalex Percentile: Top 57%
ECG Monitoring and Analysis
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